公衆衛生と安全の国際ジャーナル

This study delves into the complex dynamics of human behavior in the context of pandemic crowding, employing agent-based models with adaptive learning mechanisms. The abstract explores the innovative approach of integrating adaptive learning into agent-based models to simulate and understand how individuals respond to crowded environments during pandemics. By combining insights from behavioral science and computational modeling, this research aims to unravel nuanced patterns in human decision-making, contributing to the development of more robust strategies for managing and mitigating the impact of pandemics on crowded spaces.

This comprehensive review delves into the intricate landscape of mosquito-borne diseases, focusing on the surveillance strategies targeting two major vectors, Anopheles and Aedes, in the context of lymphatic filariasis and public health. Mosquito-borne diseases pose significant global health challenges and understanding the surveillance methods for these vectors is pivotal for effective prevention and control. Through a synthesis of existing literature, this review aims to provide insights into the advancements and challenges in Anopheles and Aedes surveillance, shedding light on their role in the transmission of lymphatic filariasis and implications for public health.

This study delves into the imperative realm of ovarian cancer prevention by meticulously tracing precursor lesions and exploring innovative population initiatives. The research aims to unravel key strategies that bridge the gap between early identification and broader preventive programs. Through a comprehensive analysis, we strive to contribute essential insights to the on-going discourse on ovarian cancer prevention. Effective prevention programs are also needed due to the lack of traditional screening options. An emerging primary prevention strategy is opportunistic salpingectomy, which involves removing fallopian tubes during another planned pelvic surgery. Opportunistic salpingectomy offers a safe and costeffective preventative option that is gaining global adoption.

The objective of this study is to investigate the impacts of coal production on the prevalence of lung cancer in West Virginia, USA. It has been accepted that lung cancer is strongly correlated with tobacco smoking. In this study, we used linear regression analysis to estimate the degree of association of lung cancer incidence and tobacco smoking prevalence in the presence of coal production. We found that lung cancer association with tobacco smoking becomes stronger when coal production is considered in the producing coal counties. In coal non-producing counties, the association between lung cancer and tobacco smoking is not significant due to high variability of lung cancer incidence and limited availability of data. When we used a first order inverse distance to estimate the effective coal production in coal non-producing counties, we found a moderate correlation between lung cancer and tobacco smoking. The study results demonstrated that effects of coal production potentiate the association between tobacco smoking on lung cancer development.